Predicting species occurrence using information-theoretic approaches and significance testing: An example of dormouse distribution in Cumbria, UK

Biological Conservation

Volumn 130, Issue 2, 2006, Pages 239-250

  Greaves, Rachael K ^a   Sanderson, Roy A ^a   Rushton, Steve P ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

AIC; Logistic regression; Model selection; Plots; Receiver Operating Characteristic; Species distribution

Indexed keywords

PREDICTION; RODENT; SPATIAL DISTRIBUTION; SPECIES CONSERVATION; SPECIES OCCURRENCE;

CUMBRIA; ENGLAND; EURASIA; EUROPE; UNITED KINGDOM; WESTERN EUROPE;

MUSCARDINUS AVELLANARIUS; MYOXIDAE;

EID: 33645229521     PISSN: 00063207     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biocon.2005.12.017     Document Type: Article

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